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Neo4j surpasses USD $200m ARR, eyes further AI growth

Today

Neo4j announced it has surpassed USD $200 million in annual recurring revenue, doubling its ARR over the past three years.

The company attributes this growth to its leadership in graph technology, which is becoming vital for enhancing the accuracy and transparency of generative AI results.

According to Neo4j, the demand for graph databases has increased as organisations recognise their importance for AI systems that handle vast amounts of interconnected data. Neo4j has also experienced a fivefold increase in demand for its cloud offerings in the past three years, supported by partnerships with leading cloud providers and ecosystem leaders.

In Australia, the Australian Department of Infrastructure has chosen Neo4j as its database for analysing movement patterns of commuters and road freight. Similarly, the Commonwealth Bank of Australia has implemented Neo4j for network observability, focusing on cybersecurity as it transitions its digital assets to the cloud.

According to a Gartner report from May 2024, 80% of data and analytics innovations will employ graph technologies by 2025, increasing from 10% in 2021. This trend is expected to facilitate rapid decision-making across enterprises. Cupole Consulting Group's analysis credits Neo4j with a 44% market share in the graph DBMS category, with the broader DBMS market estimated at USD $110 billion in 2024.

Graph databases, like those offered by Neo4j, are essential for storing and querying interconnected real-world data, facilitating knowledge graphs that support large language models (LLMs) in grounding facts and context. Neo4j is a leader in GraphRAG, a technique that enhances LLMs' ability to retrieve and utilise external data efficiently.

Gartner has highlighted the importance of GraphRAG in its Hype Cycle for AI in Software Engineering, noting that it improves the accuracy of retrieval, contextual understanding, and response coherence in enterprise applications.

Neo4j's advances in 2024 include integrating its graph data science solution with the Snowflake AI Data Cloud, expanding collaborations with Deloitte, and maintaining native integrations with LLM offerings across major hyperscalers. Neo4j's cloud portfolio has been transformed to foster graph adoption and GenAI in enterprises.

Supporting statements from industry leaders underline Neo4j's role in transforming diverse data into actionable insights. Emil Eifrem, Co-Founder and CEO of Neo4j, remarked, "This milestone is a testament to the growing recognition of graph technology as foundational to the new data stack. Neo4j empowers customers to transform data into knowledge, unlocking insights and possibilities that weren't possible before."

Sebastian Siemiatkowski, Co-Founder and CEO of Klarna, praised Neo4j's impact, saying, "At Klarna, we're transforming the way we collaborate with our GenAI chatbot Kiki, powered by Neo4j's knowledge graph. Kiki brings together information across multiple disparate and siloed systems."

Patrick Pichette, Partner at Inovia Capital, stated, "Neo4j is an amazing story of innovation leadership, growth, and market-defining maturity. And with GenAI now moving from experiment to deployment, graphs are now becoming a foundational layer for so many critical LLM business applications."

Carl Olofson, Vice President at IDC, added, "Neo4j pioneered the category of graph databases and continues to lead as an innovator, offering solutions that are increasingly vital for businesses managing complex, interconnected data."

Neo4j expects continued growth in 2025, fuelled by new AI capabilities, cloud expansion, and deeper partnerships. The company has secured an additional USD $50 million investment from Noteus Partners, solidifying its valuation and financial position despite not requiring the capital for regular operations.

Graph technology's influence is further anticipated to grow with the upcoming ISO and IEC certification of GQL, a new international standard for graph query language, indicating its maturity and acceptance.

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